1. Exploratory Data Analysis.

a. Perform exploratory data analysis on the relevant variables in the dataset. When possible, include appropriate graphs to help illustrate the dataset.

b. Compose a one to two paragraph write up of the data.

c. Create an APA style table that presents descriptive statistics for the sample.

2. Repeated-Measures ANOVA. Perform a repeated-measures ANOVA using the "Activity 6.sav" data set. You will use Score_0 through Score_12 as your repeated measure (7 levels), and gender as a fixed factor.

a. Is the assumption of sphericity violated? How can you tell? What does this mean in the context of interpreting the results?

b. Is there a main effect of gender? If so, explain the effect. Use post hoc tests when necessary or explain why they are not required in this specific case.

c. Is there a main effect time (i.e., an increase in scores from Week 0 to Week 12)? If so, explain the effect. Use post hoc tests when necessary or explain why they are not required in this specific case. Examine the output carefully and give as much detail as possible in your findings.

d. Write up the results in APA style and interpret them. Be sure that you discuss both main effects and the presence/absence of an interaction between the two.

Part B. Applying Analytical Strategies to an Area of Research Interest

3. Briefly restate your research area of interest.

a. Identify at least 2 variables for which you would utilize a repeated-measures ANOVA in your analysis.

Describe the variables and their scale of measurement. Identify whether each factor is fixed or repeating. Where on the SPSS output would you look to find out if you violated the assumption of sphericity? If the data did violate this assumption, what would the impact be on your analysis?